Start ankimaker.

README.md

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+# Ankimaker
+
+WIP
+
+A CLI app to generate anki decks.
+
+From csv file, with configurable parameters, filters and media.
+
+From epub, finding difficult* words in the book and getting their translations.
+
+*I still don't know what 'difficult' will mean. Probably difficult words will be less frequent words that are more frequent in the text than in some corpus, cut above a grade threshold. The grades will map percentiles of frequency.
+
+| Language Level	| Number of Base Words Needed |
+| ----- | ------ |
+| A1 |	500|
+| A2 |	1000|
+| B1 |	2000|
+| B2 |	4000|
+| C1 | 8000|
+| C2 |	16000|
+
+
+This project is only possible because of the awesome work of genanki team.

ankimaker/__main__.py

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+from ankimaker.commands import cli
+
+
+def main():
+    cli(prog_name='ankimaker')
+
+
+if __name__ == '__main__':
+    main()

ankimaker/commands/__init__.py

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+import click
+
+@click.group("cli")
+def cli():
+    pass
+
+from ankimaker.commands.from_csv import generate_anki

ankimaker/commands/from_csv.py

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+import click
+import re
+from ankimaker.commands import cli
+from ankimaker.tasks import basic_pandas_to_anki
+
+
+@cli.command('csv')
+@click.option('-i', '--input', 'input_file', type=click.Path(exists=True))
+@click.option('-o', '--output', 'output_file', type=click.Path(exists=False))
+@click.option('-c', '--conf', 'config_file', default=None, type=click.STRING)
+@click.option('-n', '--name', 'name', default=None, type=click.STRING)
+def generate_anki(
+        input_file,
+        output_file,
+        name,
+        config_file,
+):
+    output_file = parse_output(output_file)
+    if name is None:
+        name = get_name_from_output(output_file)
+    basic_pandas_to_anki(input_file, output_file, name)
+
+
+def parse_output(filename):
+    filetype = filename.split('.')[-1] if len(filename.split('.')) > 0 else None
+    if filetype is None:
+        return filename + '.apkg'
+    elif filetype != 'apkg':
+        filename.replace(filetype, 'apkg')
+        return filename+filetype
+    else:
+        return filename
+
+
+def get_name_from_output(filename):
+    updated_file = filename.split('/')[-1] if len(filename.split('/')) > 0 else filename
+    updated_file = re.sub(r'(.apkg)', '', updated_file)
+    return updated_file

ankimaker/tasks/__init__.py

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+from .basic_csv_to_anki import basic_pandas_to_anki

ankimaker/tasks/basic_csv_to_anki.py

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+import genanki
+import pandas as pd
+
+
+def create_model():
+    my_model = genanki.Model(
+      1607392319,
+      'Simple Model',
+      fields=[
+        {'name': 'Question'},
+        {'name': 'Answer'},
+      ],
+      templates=[
+        {
+          'name': 'Card 1',
+          'qfmt': '{{Question}}',
+          'afmt': '{{FrontSide}}<hr id="answer">{{Answer}}',
+        },
+      ])
+    return my_model
+
+
+def create_note(model, fields):
+    note = genanki.Note(
+        model=model,
+        fields=fields
+    )
+    return note
+
+
+def create_deck(name):
+    deck = genanki.Deck(
+      2059400110,
+      name
+    )
+    return deck
+
+
+def save_deck(deck, destination):
+    my_package = genanki.Package(deck)
+    # my_package.media_files = ['sound.mp3', 'images/image.jpg']
+    my_package.write_to_file(destination)
+
+
+def load_csv(path):
+    df = pd.read_csv(path, header=None)
+    return df
+
+
+def add_df_to_deck(df: pd.DataFrame, deck: genanki.Deck):
+    model = create_model()
+    for x in df.to_dict('records'):
+        note = create_note(model, fields=(x[2], x[3]))
+        deck.add_note(note)
+    return deck
+
+
+def basic_pandas_to_anki(csv_path, output_path, name):
+    df = load_csv(csv_path)
+    deck = create_deck(name)
+    add_df_to_deck(df, deck)
+    save_deck(deck, output_path)

requirements.txt

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+click
+genanki
+pandas